Solution
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SeverusPRO Technical Solution
Sovereign, Local-First AI for Cyber Defense
On-prem RAG + local LLMs. Structured JSON outputs for SIEM/SOAR, fully audited, no default exfiltration.
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Executive Snapshot
Data Sovereignty
Data never leaves your network by default. Complete sovereignty with optional external enrichment that's off by default and fully audited when enabled.
SOAR-Ready Outputs
RAG pipelines deliver structured JSON outputs optimized for automation. Contract-valid schemas ensure seamless SIEM/SOAR integration.
Rapid Deployment
Containerized deployment with pilot ready in ~30 days. Structured 30/60/90 plan ensures systematic rollout and optimization.
Energy Efficient
Up to 75% lower energy consumption at ≈135W max power draw. No additional cooling infrastructure required.
Reference Architecture
Front-ends
API, Chat, and Dashboard interfaces provide multiple access points for different user personas and integration requirements.
EXO Orchestrator
Central operator enforcing policies and routing, ensuring governance and security controls across all operations.
LLM Layer
Qwen/DeepSeek via Ollama runtime with optional Mistral delta enrichment for enhanced reasoning capabilities.
Vector Database
Security-tuned encoders feeding Qdrant vector DB with Smart Buckets for curated document management.
Security Governance
RBAC, immutable audit logs, and data residency controls ensure compliance and operational security.
Data Flow: From Raw to Action
Ingest
OSINT feeds, telemetry streams, and private documents enter through secured ingestion points.
Normalize
Convert to time-stamped JSON with provenance tracking and confidence scoring for audit trails.
Index
Store in Qdrant vector database with metadata filters enabling precise retrieval operations.
Reason
Local LLMs analyze context with optional external enrichment for enhanced decision-making.
Output
Generate contract-valid JSON for SIEM/SOAR integration with approval workflows via Slack/Teams.
Core Capabilities
RAG for Security
Advanced document intelligence with ATT&CK-mapped responses. JSON outputs designed specifically for automation workflows, ensuring seamless integration with existing security tools.
Custom NLP Pipelines
Specialized processors for IOC extraction, CVE explanation, and policy synthesis. Built-in understanding of cybersecurity context and terminology.
Local-First Model Strategy
Qwen/DeepSeek models via Ollama runtime with secured meta-prompts and strict JSON contracts. Air-gapped model import capabilities for maximum security.

Performance Targets: <2s latency, ≥99% JSON validity, ≥80% retrieval relevance, 20-30 hours/week saved per analyst.
SOC Analyst Copilot Integration
1
Alert Ingestion
Receive alerts and logs from SIEM platforms, normalize data format, and establish correlation baselines for rapid triage.
2
Context Enrichment
Retrieve related CTI including IPs, CVEs, and ATT&CK mappings from local knowledge base for comprehensive threat context.
3
Action Recommendation
Generate proposed remediation actions with confidence scores, push to SOAR platforms like Tracecat or Ansible for execution.
4
Approval & Execution
Route high-impact actions through Slack/Teams approval workflows, execute approved remediation, update ticketing systems automatically.

Output Schemas: alert_context.json, playbook_action.json with strict validation ensuring <2s response latency and ≥99% JSON validity.
Enterprise Use Cases
vCISO Workspace
Continuous risk modeling, policy alignment, and decision logging. Generate risk register entries with likelihood/impact scoring and board-ready reports with KPI dashboards.
MSSP Multi-Tenant
Standardized client onboarding with isolated Smart Buckets per tenant. Shared playbooks via SOAR with consolidated dashboards and strict RBAC controls.
eForensics Isolated
Air-gapped investigation of disk/memory artifacts with chain-of-custody logging, timeline reconstruction, and IOC extraction to knowledge base.
Threat Hunting
Hypothesis-driven hunts across telemetry and CTI. Generate hunt queries for Elastic/Zeek/EDR with ATT&CK mapping and playbook suggestions.
Deployment & Next Steps
Technical Stack
Docker-Compose deployment with Ollama runtime and Qdrant vector database. CPU-only viable with optional GPU acceleration. Energy-efficient at ≈135W maximum power consumption.
30/60/90 Day Plan
  • Day 30: Foundation deployment with OSINT processors and CTI feeds
  • Day 60: Telemetry connectors for Elastic, Splunk, QRadar, and EDR/XDR platforms
  • Day 90: Full SOAR integration with Tracecat, YARA, Ansible, and approval workflows
<2s
Response Latency
Median query response time
≥99%
JSON Validity
Automation compatibility rate
20-30h
Weekly Time Saved
Per analyst efficiency gain

Local-First by Design: All features operate on-premises by default. External enrichment requires explicit enablement and maintains full audit trails.